18 citations · 24 across the 3 of their papers we have counts for
3 papers
eess.SY2021★ 1 cited
Constructing Dampened LTI Systems Generating Polynomial Bases
Andreas Stöckel
We present an alternative derivation of the LTI system underlying the Legendre Delay Network (LDN). To this end, we first construct an LTI system that generates the Legendre polyno…
q-bio.NC2019★ 18 cited
Passive nonlinear dendritic interactions as a general computational resource in functional spiking neural networks
Andreas Stöckel, Chris Eliasmith
Nonlinear interactions in the dendritic tree play a key role in neural computation. Nevertheless, modeling frameworks aimed at the construction of large-scale, functional spiking n…
q-bio.NC2017★ 5 cited
Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework
Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith
The mathematical model underlying the Neural Engineering Framework (NEF) expresses neuronal input as a linear combination of synaptic currents. However, in biology, synapses are no…